95 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "UNIV" Postdoctoral positions at University of Oxford in United Kingdom
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. Candidates are expected to demonstrate the ability to: work as part of a team; identify research objectives and subsequently conceive, plan and independently execute appropriate activities to deadlines
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high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including visualisations/plotting preparing and documenting meetings and
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of technology, economy and our everyday life. Machines perform comparably to, or even surpass humans in playing board and computer games, driving cars, recognizing images, reading and comprehension. It is
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programmes, a proven ability to manage your own academic research and associated activities, experience of contributing to publications and presentations, and excellent communication skills, including
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-clinical immunology and vaccine development programmes, focused on outbreak-related pathogens including filoviruses such as Ebolaviruses, arenaviruses such as Junín, and Bunyaviruses such as Crimean–Congo
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We are seeking a full-time Postdoctoral Research Assistant in Optimisation and Control to join Dr Jack Umenberger’s research group at the Department of Engineering Science (central Oxford). The post is funded by UKRI and is fixed-term for 35 months. The project concerns real-time balancing of...
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computational fluid dynamics and wind turbine fluid mechanics together with the ability to understand the aerodynamics of wind energy generation and floating body dynamics is essential. Informal enquiries may be
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Equality, Diversity and Inclusion Strategic Plan, our commitment to equality and diversity goes hand in hand with our commitment to academic freedom and free speech.
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world leader in child health research and hosts internationally renowned research programmes in drug development, gastroenterology, haematology, HIV, immunology, neuroimaging, neuromuscular diseases and
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, economics, and other areas of computational social science; • AI scientists for natural science, integrating LLM agents with simulation and, where appropriate, robotic experimentation (e.g., automated “dry